Data Analyst - Internship

HoloHireHamburg, IA
1dRemote

About The Position

Comprehensive introduction to practical data work within a professional environment. Collaboration with the data team on active analytical projects. Hands-on experience with real datasets and reporting workflows. Exposure to the full data lifecycle from collection to interpretation. Fully remote participation from anywhere within Germany. Structured communication through regular check-ins, collaborative sessions, and documented processes.

Requirements

  • Currently studying or recently graduated from a quantitative or analytical field (e.g., mathematics, statistics, economics, engineering, business analytics).
  • Basic understanding of dataset structures, common metrics, and fundamental analytical concepts.
  • Comfortable using Excel or Google Sheets, including formulas, sorting, filtering, and basic validation.
  • Strong attention to detail with the ability to spot errors or inconsistencies in data.
  • Curious, motivated, and eager to expand your analytical capabilities.
  • Organized and reliable when working remotely and managing your workflow.
  • Clear communicator who is able to document work and ask the right questions.

Responsibilities

  • Collect, organize, and clean data from a variety of internal and external sources.
  • Support the creation of dashboards, weekly reports, and visual summaries for different teams.
  • Conduct exploratory data analysis to identify patterns, trends, and insights.
  • Perform data quality checks and help resolve inconsistencies and inaccuracies.
  • Maintain and update internal datasets, including basic documentation and version organization.
  • Assist with ad-hoc analytical tasks such as comparisons, calculations, and short research assignments.
  • Participate in team meetings, share findings, discuss challenges, and align on priorities.
  • Gain familiarity with new analytical tools and apply them to guided tasks.
  • Document work clearly so team members can understand and extend your contributions.

Benefits

  • A structured and paid three-month program focused on real data analysis tasks.
  • Close support and feedback from experienced data professionals.
  • Concrete project experience that strengthens your CV and portfolio.
  • Access to training materials, internal documentation, and supportive learning resources.
  • Flexible remote work arrangement while remaining integrated with the team.
  • Insight into how data informs both day-to-day operations and long-term strategy.
  • Opportunities to explore different branches of analytics such as visualization, performance tracking, and process improvement.
  • Consideration for future employment or ongoing collaboration based on performance.
  • A learning-focused environment where progress, questions, and development are actively encouraged.
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